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Article
Design of a bi-level PSO based modular neural network for multi-step time series prediction
Derived from an effective strategy - direct and multiple-input multiple-output strategy, a modular neural network based on a bi-level particle swarm optimization algorithm (BLPSO-MNN) is proposed in the presen...
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Article
An adaptive evolutionary modular neural network with intermodule connections
To approach the brain-like neural network and further improve the performance of the modular neural network (MNN), an adaptive evolutionary modular neural network with intermodule connections (EA-ICMNN) is pro...
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Article
A WSFA-based adaptive feature extraction method for multivariate time series prediction
In recent years, artificial neural networks (ANNs) have been successfully and widely used in multivariate time series prediction, but the accuracy of the prediction is significantly affected by the ANNs’ input...
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Article
DCNet: exploring fine-grained vision classification for 3D point clouds
Fine-grained 3D point cloud classification is vital for shape analysis and understanding. However, due to the subtle inter-class differences and the significant intra-class variations, applying the existing po...
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Chapter and Conference Paper
Design of Sustainable Fashion APP Based on Perceived Value Theory - Taking “Eco Echo” as an Example
While the fashion industry is currently paying increasing attention to environmental pollution, the attention of “Generation Z” consumers to sustainable fashion has not yet reached a high level. Although they ...
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Chapter and Conference Paper
Regularized DNN Based Adaptive Compensation Algorithm for Gateway Power Meter in Ultra-High Voltage Substations
The development of the power Internet of Things (IoT) has made the data of ultra-high voltage substation metering critical information sources for supporting power energy scheduling and market transactions. Ho...
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Article
V \(^2\) MLP: an accurate and simple multi-view MLP network for fine-grained 3D shape recognition
Fine-grained 3D shape recognition (FGSR) is crucial for real-world applications. Existing methods face challenges in achieving high accuracy for FGSR due to high similarity within sub-categories and low dissim...
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Article
Open AccessHypergraph convolution mix DDPG for multi-aerial base station deployment
Aerial base stations (AeBS), as crucial components of air-ground integrated networks, can serve as the edge nodes to provide flexible services to ground users. Optimizing the deployment of multiple AeBSs to ma...
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Article
Open AccessPPO-based deployment and phase control for movable intelligent reflecting surface
Intelligent reflecting surface (IRS) stands as a promising technology to revolutionize wireless communication by manipulating incident signal amplitudes and phases to enhance system performance. While existing...
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Article
Multitask Learning with Multiscale Residual Attention for Brain Tumor Segmentation and Classification
Automatic segmentation and classification of brain tumors are of great importance to clinical treatment. However, they are challenging due to the varied and small morphology of the tumors. In this paper, we pr...
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Chapter and Conference Paper
Research on the Design of Serious Games for the Elderly Cognitive Training Based on Augmented Reality
In recent years, the aging of the world's population has been increasing year by year. As people age, the human brain is prone to aging and damage, and basic abilities such as thinking, language, and execution...
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Chapter and Conference Paper
VPlaytime: Face-to-Face Recess in Virtual Reality Classrooms
Class break space is a potentially promising informal learning environment for both integrating formal and informal learning using Virtual Reality and supporting student self-regulated learning in art and desi...
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Article
An online adjusting RBF neural network for nonlinear system modeling
Aiming to improve the prediction accuracy and to obtain a compact structure, an online adjusting radial basis function neural network (OA-RBFNN) is proposed in this paper. The proposed OA-RBFNN realizes online...
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Chapter and Conference Paper
The Coherence and Divergence Between the Objective and Subjective Measurement of Street Perceptions for Shanghai
Recent development in Street View Imagery (SVI), Computer Vision (CV) and Machine Learning (ML) has allowed scholars to quantitatively measure human perceived street characteristics and perceptions at an unpre...
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Chapter and Conference Paper
Fluorescence Microscopy Images Segmentation Based on Prototypical Networks with a Few Annotations
The objects in fluorescence microscopy images (FMIs) are rather densely populated, and often have complex structures as well as large color variations. These issues result in time-consuming manual annotations ...
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Chapter and Conference Paper
Teaching a Basic Design Class for Art and Design Freshmen: Course Design and Lessons Learned
In Art and Design education, it is challenging to teach basic design courses for freshmen. On one hand, freshmen have a very limited knowledge base, and the transition process from high school to college educ...
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Chapter and Conference Paper
Quantifying Association Between Street-Level Urban Features and Crime Distribution Around Manhattan Subway Entrances
The Manhattan subway system serves 39% of its commuters as an essential public transit option; however, its annual ridership dropped by 3.48% from 2015 to 2018. This study hypothesizes that ground-level urban-...
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Article
Physics informed neural network for parameter identification and boundary force estimation of compliant and biomechanical systems
This paper presents the framework of a physics-informed neural network (PINN) with a boundary condition-embedded approximation function (BCAF) for solving common problems encountered in flexible mechatronics a...
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Article
A self-organizing recurrent fuzzy neural network based on multivariate time series analysis
Fuzzy neural networks (FNNs) have attracted considerable interest for modeling nonlinear dynamic systems in recent years. However, the recurrent design and the self-organizing design of FNNs generally lack ada...
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Chapter and Conference Paper
Design of Elderly Care Service in Rural Community with Mutual Assistance Mode—A Case Study of B Rural Community in A Town, Beijing
Guided by the concept of mutual assistance mode, this paper designs a systematic service design scheme to resolve practical elderly care problems in rural communities, such as the sense of loneliness, low self...